The A.I. Business Owner is part of the R&D, within the Digital, Data and A.I. department and reports to the Chief A.I. Officer.

In this role, your main responsibilities will be ensuring that Artificial Intelligence products deliver business value, meet scientific needs, and support the transformation of R&D. You will act as the voice of the user, bridging scientific teams, product squads, and technical stakeholders to align priorities, guide development, and foster adoption.

Responsabilités

Strategic Ownership & Governance
- Define and maintain a clear product vision aligned with R&D strategy
- Represent business needs in agile ceremonies and product planning
- Prioritize features and enhancements based on user value and strategic impact
- Monitor delivery against scope, quality, budget, and timelines

User-Centric Product Management
- Capture and structure user needs across diverse scientific domains
- Translate business requirements into actionable product roadmaps
- Ensure coherence and usability across A.I. products and platforms
- Drive continuous improvement based on feedback and usage analytics

Value Creation & Adoption
- Define KPIs to measure product impact and business value
- Promote product usage through targeted communication and engagement
- Organize onboarding, training, and support activities to maximize adoption
- Foster a data-driven culture and empower users in their A.I. journey

Cross-functional Collaboration
- Work closely with Product Owners, UX/UI designers, developers, and digital, data & AI teams
- Coordinate with Change Managers and Learning Specialists to support deployment
- Ensure alignment with governance, compliance, and data quality standards.

Key Interactions
- Internal R&D: Scientific teams, Product Owners, Tech Lead, UX Designers, Change Managers, Learning Specialists
- Group Level: Data Factory, Information System

Profil souhaité

Educational Background
- Master degree

Hard Skills
- Experience in the pharmaceutical sector within R&D scopes
- Good understanding of R&D processes
- Knowledge of R&D data
- Solid experience in AI/ML projects
- Understanding of analytical programming environments (R, Python)
- Understanding of business issues and expectations
- Product management methodologies with strong synthesis abilities
- Familiarity with data sources specific to the pharmaceutical industry
- Knowledge of agile methodologies and product development processes
- Project management skills - ability to lead and coordinate several different projects in parallel while ensuring high-quality work and meeting timelines

Soft Skills
- Assertive communication skills
- Fluent in French and professional proficiency in English